We are not reading
AI outputs.
We are correlating
what drives them.
Rankall.io maps the relationship between 60+ trust signals and AI recommendation behavior across 11 platforms. Every scan adds to that map. Every verified outcome makes it more accurate.
How the intelligence graph works
60+ Trust Signal Sources
Reviews & Ratings
30%Social Presence
20%Directories
15%Schema & Technical
15%Citations & Press
10%E-Commerce Signals
10%Rankall Engine
Intelligence Engine
7-layer ML pipeline
11 AI Recommendation Platforms
ChatGPT
Gemini
Perplexity
Grok
Claude
Groq
Kimi
The compounding loop
Every scan, fix, and verified outcome makes the next prediction more accurate. The product gets more valuable over time.
Scan runs
All 11 AI platforms queried simultaneously. 60+ trust signals pulled in parallel.
Correlation mapped
ML engine correlates which signals drove which platform recommendations for this business type and location.
Fix predicted
Based on verified outcomes from similar businesses, fix impact is predicted before anything is applied.
Fix applied
Business applies the recommended fix using AI-generated content from the Fix Engine.
Outcome verified
Automated rescan runs in 30 days. Before and after scores compared. Timestamped proof stored.
Model improves
Verified outcome feeds back into the prediction model. Next similar business gets a more accurate prediction.
Patterns the graph surfaces
These are consistent patterns we see emerging across our dataset — not programmed rules, but discovered correlations.
89%
FAQ schema correlation
Businesses with complete FAQ schema markup consistently appear in ChatGPT recommendations for service queries. Those without it rarely do.
~0.8
Reddit-Perplexity link
Reddit community presence shows a strong correlation with Perplexity local recommendations — stronger than most other individual signals we track.
+20pts
Review response impact
Businesses that actively respond to Google reviews consistently score higher on Gemini local queries across multiple categories and cities.
62%
Tripadvisor citation rate
Tripadvisor is cited in 62% of Austin restaurant queries across all platforms we track — making it the highest-leverage missing signal for restaurants in our dataset.
The longer view
The graph becomes more valuable the more it grows.
A product that shows you a score is useful today. A system that maps why AI recommends one business over another — and gets more accurate with every data point — becomes something more durable over time.
That is the direction we are building in. Not a dashboard. A correlation engine that gets smarter with every scan, every fix, and every verified outcome.
60+
Signal sources mapped
10
AI platforms correlated
7
Industries tracked
Day 1
Dataset building started
See the graph working
on your business.
7 days free. No credit card. Real signals. Real score.